Fernando Profile picture
Dec 22, 2021 9 tweets 2 min read
1/
Some more #ES stats, this time focused on overnight inventory correction and on B-period in relation to A-period.

The date range is the same as in the previous thread: +/- the past 90 days.
2/
I considered it a correction when 10pts or more were corrected in relation to the ETH closing price.

- Overnight Inventory was corrected 60% of the time.

- When the RTH session opened within ¼ of the ETH range from the ETH high or low, that figure increased to 66.75%.
3/
- When the RTH session opened within 5pts of the ETH high or low, that figure increased to 77%.

- Whenever ON Inventory was corrected,
that correction happened during A-Period 77.5% of the time.
4/
- If the correction didn’t happen during A-Period,
only fewer than 2% of the time it occurred during B-Period.
5/
- Whenever the RTH session opened on a gap,
the market kept moving in the direction of the gap 59% of the time (tolerance of 5pts MAE).

- When the RTH session opened within ¼ of the ETH range from the ETH high or low, that figure increased to 70.5%
6/
A- and B-Periods:
- The average A-Period range was 20.50pts.

- The average B-Period range was 15.50 pts.

B-Period had a narrower range than A-Period 76.5% of the time.
7/ Image
8/
- The average A-Period volume was 177’626 contracts.

- When the A-Period volume was above average,
B-Period had a narrower range 70% of the time.

- When the A-Period volume was below average,
B-Period had a narrower range 80.50% of the time.
9/
Note:
Figures have been rounded to a quarter of a percent.

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More from @perushka

Feb 2
1/
I've been reworking my daily debriefs and wanted to share the new format with you, guys.

I think doing a proper debrief at the end of the day is very, very helpful since we might have our actions during the day completely different in our minds than how they actually were.
2/
The header is pretty basic but something I find helpful is to give each day a name. It might be a general name (FOMC) or something personal (First time holding a trade for more than 20pt), but I think this helps to recall the day when looking back at it sometime in the future.
3/
Next thing is a quick overview of my goals and the actual results compared to those goals. The idea here is, of course, to get better over time. We might slip into old patterns now and then, but the goal should be to have consistent YES's...
Read 15 tweets
Dec 15, 2021
1/
Some further stats on #ES, this time focused on the 30min OR. As well observed by @Michigandolf on my last thread, results might be a bit skewed due to the high volatility in the past weeks. Similar as the last thread, these figures are also based on the past 90 days.
2/
Some notes first:
• Figures are rounded to a quarter of a percent.

• Any breakout smaller than 3pts is counted as a false breakout.

• Time zone used is ET
3/
General Stats:

• The OR is broken 97% of the time.

• 56.50% of the time there’s a retest of the OR boundary within 20m after the breakout.

• Average MFE after breakout: 20.00 pts.

• Minimum MFE after breakout: 4.00 pts.

• Maximum MFE after breakout: 60.50 pts.
Read 11 tweets
Dec 13, 2021
1/
Motivated by this fantastic thread, I did some research on #ES based on the past 90 (calendar) days. I focused on the stats that matter to me, so you'll find fewer data points than on the original thread.

2/
Chances of HOD or LOD being greater than 30m OR:
76.56%

Chances of HOD and LOD being greater than 30m OR:
20.31%
3/
Chances of HOD or LOD being greater than IB:
87.50%

Chances of HOD and LOD being greater than IB:
6.25%
Read 7 tweets

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